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This paper proposes a new algorithm to generate a super-resolution image from a single, low-resolution input without the use of a training data set. We do this by exploiting the fact that the image is highly compressible in the wavelet domain and leverage recent results of compressed sensing (CS) theory to make an accurate estimate of the original high-resolution image. Unfortunately, traditional...
Multiresolution CFAR detection algorithm in wavelet domain using db4 wavelet is investigated in this paper, which can be incorporated into SAR image compression system. It is derived on a multiscale model of SAR imagery. Thanks to the structure of this model and detection in wavelet domain, calculation is much simpler than that of two parameter CFAR detection algorithm in image domain. Tests on simulated...
In this work, we address the problem of multichannel image retrieval in the compressed wavelet-based domain. A wavelet transform is applied to each component. Then, two approaches are applied to extract features from the multiresolution representations. In the first one, the wavelet coefficients of each component are considered as mutually independent and hence, features are separately computed. In...
Global motion estimation (GME) is a step of primary importance in video analysis and Indexing. In this paper, we propose a method for estimating the global motion in HD sequences compressed with JPE2000, as it is the compression standard adopted by the digital cinema. To respect the scalability nature of the standard, our method works preferentially on the lower resolution sub-bands of the wavelet...
This paper proposes a new blind spread spectrum image watermarking method in Contourlet domain, where watermark is embedded through PN sequences in the selected Contourlet coefficients of the cover image. Data embedding is performed in selected sub bands, providing higher resiliency through better spectrum spreading compared to other sub bands. It has been observed that, in comparison with other Contourlet...
In this paper the JPEG2000 standard is analyzed showing how to exploit all its powerful features in order to build efficient virtual slide telepathology systems. We propose a fast method for stitching images in the wavelet domain. Stitching is a process necessary in many virtual slide systems to generate only one image of a slide with the maximum resolution. This method profits from the structure...
In this paper, a new image compression algorithm is proposed based on the efficient construction of wavelet coefficient lower trees. The main contribution of the proposed lower-tree wavelet (LTW) encoder is the utilization of coefficient trees, not only as an efficient method of grouping coefficients, but also as a fast way of coding them. Thus, it presents state-of-the-art compression performance,...
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